"""
期权资产模块 - 定义期权资产类及其特有功能
"""

from typing import Dict, List, Union, Any, Optional
import pandas as pd
from datetime import datetime, timedelta

from FDAS.data.assets.base import Asset
from FDAS.data.constants import ASSET_TYPE_OPTION
from FDAS.core.exceptions import DataFetchError

class Option(Asset):
    """
    期权资产类
    
    提供期权特有的数据获取和分析功能
    """
    
    @property
    def asset_type(self) -> str:
        """获取资产类型"""
        return ASSET_TYPE_OPTION
    
    def _get_basic_info(self) -> Dict:
        """获取期权基本信息"""
        try:
            return self.provider.get_option_basic_info(self.symbol)
        except Exception as e:
            return {
                "code": self.symbol,
                "name": "未知期权",
                "asset_type": self.asset_type,
                "error": str(e)
            }
    
    def get_history(self, 
                   start_date: Optional[str] = None, 
                   end_date: Optional[str] = None,
                   period: str = "daily", 
                   adjust: str = "",
                   limit: Optional[int] = None) -> pd.DataFrame:
        """获取期权历史行情数据"""
        try:
            # 设置默认日期
            if not end_date:
                end_date = datetime.now().strftime("%Y%m%d")
            if not start_date:
                start_date = (datetime.now() - timedelta(days=365)).strftime("%Y%m%d")
            
            # 获取历史数据
            df = self.provider.get_asset_history(
                symbol=self.symbol,
                asset_type=self.asset_type,
                period=period,
                start_date=start_date,
                end_date=end_date
            )
            
            # 限制数据条数
            if limit and len(df) > limit:
                df = df.tail(limit)
                
            return df
        except Exception as e:
            raise DataFetchError(f"获取期权历史数据失败: {str(e)}")
    
    def get_greek_metrics(self) -> Dict:
        """获取期权希腊字母指标"""
        try:
            return self.provider.get_option_greek_metrics(self.symbol)
        except Exception as e:
            raise DataFetchError(f"获取期权希腊字母指标失败: {str(e)}")
    
    def get_implied_volatility(self) -> float:
        """获取期权隐含波动率"""
        try:
            # 这里需要实现期权隐含波动率计算逻辑
            # 可以从希腊字母指标中提取或单独计算
            greek_metrics = self.get_greek_metrics()
            return greek_metrics.get('implied_volatility', 0.0)
        except Exception as e:
            raise DataFetchError(f"获取期权隐含波动率失败: {str(e)}")
    
    def get_time_value(self) -> float:
        """获取期权时间价值"""
        try:
            # 这里需要实现期权时间价值计算逻辑
            return 0.0
        except Exception as e:
            raise DataFetchError(f"获取期权时间价值失败: {str(e)}")
    
    def get_intrinsic_value(self) -> float:
        """获取期权内在价值"""
        try:
            # 这里需要实现期权内在价值计算逻辑
            return 0.0
        except Exception as e:
            raise DataFetchError(f"获取期权内在价值失败: {str(e)}")
    
    def get_underlying_asset(self) -> Asset:
        """获取期权标的资产"""
        try:
            # 这里需要实现期权标的资产获取逻辑
            # 可能需要从期权代码中提取标的代码
            from FDAS.data import repository
            # 假设标的代码为"000001"
            return repository.get_asset("000001")
        except Exception as e:
            raise DataFetchError(f"获取期权标的资产失败: {str(e)}")